60618 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 60618 Zip Code | Illinois | U.S. |
Total Housing Units | 35,561, 100% | 4,778,633 | 116,211,092 |
Utility Gas | 32,816, 92.28%, see rank | 79.46% | 48.85% |
Bottled, Tank, or LP Gas | 405, 1.14%, see rank | 4.08% | 4.86% |
Electricity | 1,963, 5.52%, see rank | 14.82% | 36.68% |
Fuel Oil, Kerosene, etc. | 43, 0.12%, see rank | 0.20% | 5.86% |
Coal or Coke | 16, 0.04%, see rank | 0.02% | 0.12% |
Wood | 0, 0.00%, see rank | 0.50% | 2.12% |
Solar Energy | 17, 0.05%, see rank | 0.02% | 0.05% |
Other Fuel | 125, 0.35%, see rank | 0.45% | 0.47% |
No Fuel Used | 176, 0.49%, see rank | 0.46% | 1.00% |
ACS 2008-2012 data
| 60618 Zip Code | Illinois | U.S. |
Total Housing Units | 35,534, 100% | 4,774,275 | 115,226,802 |
Utility Gas | 33,093, 93.13%, see rank | 80.36% | 49.42% |
Bottled, Tank, or LP Gas | 350, 0.98%, see rank | 4.10% | 5.03% |
Electricity | 1,796, 5.05%, see rank | 14.02% | 35.51% |
Fuel Oil, Kerosene, etc. | 28, 0.08%, see rank | 0.25% | 6.46% |
Coal or Coke | 11, 0.03%, see rank | 0.02% | 0.12% |
Wood | 0, 0.00%, see rank | 0.49% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 117, 0.33%, see rank | 0.42% | 0.43% |
No Fuel Used | 139, 0.39%, see rank | 0.34% | 0.90% |
US Census 2000 data
| 60618 Zip Code | Illinois | U.S. |
Total Housing Units | 35,017, 100% | 4,591,779 | 105,480,101 |
Utility Gas | 32,214, 92.00%, see rank | 80.54% | 51.22% |
Bottled, Tank, or LP Gas | 618, 1.76%, see rank | 4.99% | 6.52% |
Electricity | 1,330, 3.80%, see rank | 12.43% | 30.35% |
Fuel Oil, Kerosene, etc. | 159, 0.45%, see rank | 0.62% | 8.97% |
Coal or Coke | 12, 0.03%, see rank | 0.02% | 0.14% |
Wood | 0, 0.00%, see rank | 0.37% | 1.68% |
Solar Energy | 18, 0.05%, see rank | 0.02% | 0.04% |
Other Fuel | 234, 0.67%, see rank | 0.55% | 0.39% |
No Fuel Used | 432, 1.23%, see rank | 0.48% | 0.69% |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.